import numpy as np  
from numpy import random  
  
# 表示每个年龄组的总人数  
totals = {20: 0, 30: 0, 40: 0, 50: 0, 60: 0, 70: 0}  
# 表示每个年龄组中购买该产品的总数量  
purchases = {20: 0, 30: 0, 40: 0, 50: 0, 60: 0, 70: 0}  
# 表示购买的总人数
totalpurchases = 0  
  
# 创建100000个虚拟人  
for _ in range(100000):  
    agedecade = random.choice([20, 30, 40, 50, 60, 70])  # 随机分配到6个年龄段  
    purchaseprobability = float(agedecade) / 100.0  # 假设随着年龄增加，购买产品的概率增加  
    totals[agedecade] += 1  
    # 判断是否购买产品  
    if random.random() < purchaseprobability:  
        totalpurchases += 1  
        purchases[agedecade] += 1  
  
# 计算并打印条件概率  
for age in totals:  
    conditional_probability = purchases[age] / totals[age] if totals[age] > 0 else 0  
    print(f"年龄在{age}岁的人购买产品的条件概率是: {conditional_probability:.4f}")